Using artificial neural network models to assess water quality in water distribution networks

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dc.contributor.authorCuesta Cordoba, Gustavo Andrescs
dc.contributor.authorTuhovčák, Ladislavcs
dc.contributor.authorTauš, Miloslavcs
dc.coverage.issue1cs
dc.coverage.volume70cs
dc.date.accessioned2020-08-04T14:57:47Z
dc.date.available2020-08-04T14:57:47Z
dc.date.issued2014-04-30cs
dc.description.abstractThe purpose of the research is to assess chlorine concentration in WDS using statistical models based on ANN in combination with Monte-Carlo. This approach offers advantages in contrast to the generally use methods for modeling of chlorine decay in drinking water systems until now. The model was tested on one specific location using the hydraulic and water quality parameters such as flow, pH, temperature, etc. The model allows forecasting chlorine concentration at selected nodes of the water supply system. The results obtained in these selected nodes allow then to compare the chlorine concentration with EPANET in the system under assessment.en
dc.description.abstractČlánek popisuje navržený model pro posuzování koncentrace chloru ve vodovodní síti využívající statistických modelů založených na umělých neuronových sítích v kombinaci s metodou Monte-Carlo.cs
dc.formattextcs
dc.format.extent399-408cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationProcedia Engineering. 2014, vol. 70, issue 1, p. 399-408.en
dc.identifier.doi10.1016/j.proeng.2014.02.045cs
dc.identifier.issn1877-7058cs
dc.identifier.other108425cs
dc.identifier.urihttp://hdl.handle.net/11012/194720
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofProcedia Engineeringcs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1877705814000472cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1877-7058/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cs
dc.subjectwater distribution systemsen
dc.subjectchlorine decayen
dc.subjectartificial neural networksen
dc.subjectMonte Carlo Methoden
dc.subjectvodovodní sítě
dc.subjectchlor
dc.subjectumělé neuronové sítě
dc.subjectmetoda Monte-Carlo
dc.titleUsing artificial neural network models to assess water quality in water distribution networksen
dc.title.alternativeVyužití modelů umělých neuronových sítí k hodnocení kvality vody ve vodovodních distribučních sítíchcs
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-108425en
sync.item.dbtypeVAVen
sync.item.insts2020.08.04 16:57:47en
sync.item.modts2020.08.04 16:15:59en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav vodního hospodářství obcícs
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